FinOps Principles Apply to AI Spend as Cloud Costs Surge

AI tool spending has shifted from fixed to usage-based pricing, mirroring early cloud cost patterns. A McKinsey study shows generative AI adoption more than doubled in a year, creating visibility gaps where most teams can't track which developers or models drive costs. Applying FinOps principles like allocation and anomaly detection can control AI spend without slowing engineering.